https://github.com/bluegreen-labs/mcd10a1
a robust MODIS snow cover and phenology product (Google Earth Engine codebase)
Science Score: 36.0%
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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✓DOI references
Found 5 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.9%) to scientific vocabulary
Keywords from Contributors
Repository
a robust MODIS snow cover and phenology product (Google Earth Engine codebase)
Basic Info
- Host: GitHub
- Owner: bluegreen-labs
- License: agpl-3.0
- Language: JavaScript
- Default Branch: master
- Homepage: http://khufkens.github.io/MCD10A1/
- Size: 1.12 MB
Statistics
- Stars: 21
- Watchers: 3
- Forks: 16
- Open Issues: 0
- Releases: 2
Metadata Files
README.md
MCD10A1: a robust MODIS snow cover and snow phenology product
Description
The Google Earth Engine (GEE) code within this project combines MODIS Aqua - Terra snow cover products and derives snow melt - accumulation (snow phenology) dates.
The original MODIS products (MOD10A1 & MYD10A1, for the Terra and Aqua platforms respectively) as processed by the National Snow and Ice Data Center (NSIDC) have the tendency to be biased low.
My code fuses these two data streams using a maximum value approach to account for this bias. More importantly, the script also generates a derived snow phenology product where I calculate the date of snow melt (< 5% snow cover) in spring and and snow accumulation (> 5%) in autumn.
As an example the script runs a simple regression analysis to mark trends in snow melt dates, answering the question if snow melt occurs later or earlier over time.
How to cite this package in your article
You can cite this package like as:
Koen Hufkens. (2018). khufkens/MCD10A1: MCD10A1 (v1.1). Zenodo. https://doi.org/10.5281/zenodo.2528498
Use
You can clone the project, copy and paste the code into your current workspace / project or use the GEE link.
Example
Below you see a snow melt trend map of the US and Canada, with earlier snow melt marked in red and later snow melt marked in blue.
Some clear trends can be seen in the mountain ranges in the West of the US with very pronounced earlier snow melt dates. High latitudes throughout Alaska and Canada also see a shorter snow season. Some later snow melt date trends can be noted as well, sweeping east from the middle of Alberta, Canada, to the great lakes.
Caution is needed in interpreting the trend analysis as generated by the code. The analysis relies on a simple linear regression which might be skewed by outliers. I suggest using a panel analysis or a robust regression analysis before making any scientific inference.
Validation
The MCD10A1 product has been validated against the SNOTEL network of snow dept sensors. Although both metrics are not equivalent, where SNOTEL measures snow depth and MCD10A1 landscape cover, some correspondence should exists. Results of this analysis show that overall MCD10A1 data is biased early (especially for lower latitudes). The SNOTEL data were processed for all sites with overlapping MCD10A1 data coverage (820 sites, 9522 site years) using my snotelr package and snow phenology statistics procedures.
The previously mentioned difference in the metrics and the scale of the measurements might explain a part of this bias. Furthermore, canopy type (height) seems to have an important influence on this bias if one compares high versus low vegetation types (figures below).
Snow melt dates are better constrained than snow accumulation at the end of the season. Again, this is not surprising as snow melting is a far more continuous & abrupt process compared to snow accumulation through various snow storms. Here wind has a particularly strong effect on the amount and location of snow accumulation.
In all cases, high latitude sites have a better agreement between SNOTEL estimated values and the MCD10A1 retrieved data. The latter results indicate that at least for high latitudes the combined MCD10A1 product is robust.
Owner
- Name: BlueGreen Labs
- Login: bluegreen-labs
- Kind: organization
- Email: info@bluegreenlabs.org
- Location: Melsele, Belgium
- Website: http://bluegreenlabs.org
- Repositories: 17
- Profile: https://github.com/bluegreen-labs
BlueGreen open science labs & consulting, providing environmental research infrastructure and editorial solutions.
GitHub Events
Total
- Watch event: 2
- Fork event: 1
Last Year
- Watch event: 2
- Fork event: 1
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| khufkens | k****s@g****m | 21 |
| Koen Hufkens | k****s@P****l | 4 |
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0